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SpaceX Falcon Heavy rocket to launch NASA’s Roman Space Telescope

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NASA has chosen SpaceX’s Falcon Heavy rocket to launch its next major space telescope, a wide-field observatory that should directly complement the brand new James Webb Space Telescope.

Originally known as the Wide Field InfraRed Survey Telescope (WFIRST), NASA recently renamed the mission in honor of Nancy Grace Roman, a foundational force behind the Hubble Space Telescope. Fittingly, the Roman Space Telescope’s basic design is reminiscent of Hubble in many ways, owing to the fact that the mission exists solely because the US National Reconnaissance Office (NRO) chose to donate an unused multi-billion-dollar spy satellite – a satellite that was effectively a secret Earth-facing version of Hubble.

However, thanks to decades of improvements in electronics, electromechanics, and the instrumentation side of spacecraft and space telescopes, RST will be dramatically more capable than the Hubble telescope it resembles. And now, after a several-year fight for survival, the Roman Space Telescope officially has a ride to space – SpaceX’s Falcon Heavy rocket.

Falcon Heavy continues to be a bit of a paradox, winning contract after contract for increasingly high-value flagship launches despite having not launched once in more than three years. It’s a bit of a self-fulfilling prophecy, at this point, as the major missions that are increasingly being entrusted to Falcon Heavy are far more likely to run into significant spacecraft-side delays. At one point in late 2021, for example, SpaceX had five Falcon Heavy launches tentatively planned in 2022 – all but one of which had already been delayed several months to a year or more. Seven months into 2022, not one of those missions has launched and it’s looking increasingly likely that Falcon Heavy will be lucky to fly at all this year.

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Nonetheless, the Roman Space Telescope joins an impressive manifest that includes the multi-billion-dollar GOES-U weather satellite, NASA’s ~$5 billion Europa Clipper, two modules (HALO and PPE) of a Moon-orbiting space station, NASA’s Psyche asteroid explorer, a large Astrobotic Griffin lander carrying NASA’s VIPER Moon rover, two large geostationary communications satellites, and three missions for the US military. RST is the rocket’s 11th launch contract between now and the mid-2020s.

Despite having a similar resolving power, RST’s primary wide-field instrument will have a field of view 100 times greater than Hubble, meaning that the new telescope will be able to gather magnitudes more data in a similar time. Its primary goals include measuring “light from a billion galaxies over the course of the mission lifetime” and performing “a microlensing survey of the inner Milky Way to find ~2,600 exoplanets.” A second coronagraph instrument will “perform high-contrast imaging and spectroscopy of dozens of individual nearby exoplanets.” According to the Jet Propulsion Laboratory, “the Coronagraph provides a crucial stepping stone in the preparation of future missions aiming to [directly] image and characterize Earth-like planets [that are] 10 billion times fainter than their host star.”

According to NASA, “the telescope’s science program also includes dedicated investigations to tackle outstanding questions [about the nature and] effects of dark energy and dark matter, as well as a substantial general investigator program to enable further studies of astrophysical phenomena to advance other science goals.”

Because RST is also focused on infrared wavelengths of light, it could be an excellent companion to the James Webb Space Telescope (JWST). Whereas RST is a wide-field survey observatory that aims to observe and catalog billions of galaxies, stars, and planets, JWST’s far larger mirror is optimized for up-close observation of individual targets or deep gazes into tiny swaths of sky. RST could ultimately work a bit like an MRI or CAT scan to JWST’s biopsy, telling the surgeon where to look but only hinting at what it might find.

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According to NASA, the ~$4.3 billion space telescope’s Falcon Heavy launch contract will cost an exceptionally steep $255 million to send the spacecraft to the Sun-Earth L2 Lagrange point about 800,000 kilometers (~500,000 mi) from Earth. NASA’s contract to launch the even more expensive Europa Clipper spacecraft all the way to Jupiter with a fully-expendable Falcon Heavy rocket is expected to cost less than $180 million.

NASA’s press release also claims that RST will be ready to launch as early as October 2026. A different press release from September 2021 did not mention the 2026 target and only noted that RST’s launch is scheduled no later than May 2027.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Tesla urges New Jersey owners to oppose new bill that could block Robotaxi

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Credit: Grok

Tesla has launched a direct campaign targeting its customers in New Jersey, sending emails that warn of pending legislation that could effectively block true driverless technology in the state.

The email focuses on Senate Bill S.1677 and Assembly Bill A.3968, measures intended to create a three-year autonomous vehicle pilot program but laden with requirements that Tesla argues make unsupervised Robotaxis impossible.

According to the email, the bills impose “restrictions so severe that true driverless deployment would remain illegal.” Specific hurdles include mandates for human safety drivers during operations, multimillion-dollar insurance minimums, reportedly $5 million, and thresholds like 100,000 miles of demonstrated safe autonomous driving before any driverless approval.

Tesla contends these are arbitrary barriers that ignore real-world performance data and favor entrenched competitors over innovative technologies like its Full Self-Driving (FSD) system.

The push comes as Tesla has started expanding Robotaxi operations in states like Texas, where unsupervised vehicles are already providing rides in several cities. New Jersey, by contrast, risks falling behind. The company highlights in the email communication that more than 94 percent of serious crashes result from human error, meaning impairment, distraction, or fatigue. These are all problems that Robotaxis eliminate entirely.

In 2025, New Jersey recorded 582 traffic deaths, underscoring the human cost of delayed adoption.

Tesla’s outreach stresses the transformative potential of robotaxis. For families, they could offer safer school runs without drowsy or distracted drivers. For seniors and people with disabilities, robotaxis promise independence and reliable mobility.

In areas with limited public transit, they could deliver affordable, on-demand transportation, reducing congestion, emissions, and overall transportation costs. Economically, the company warns that restrictive rules could cost New Jersey jobs, innovation investment, and billions in potential growth as autonomous ride-hailing scales elsewhere.

Supporters of the legislation, including Sen. Andrew Zwicker, describe the pilot as a cautious framework with strong safety oversight, including incident reporting, expert task forces, and restrictions in sensitive zones like school areas. They view it as balancing innovation with public protection.

Tesla and pro-AV advocates counter that the bill lacks technology neutrality, creates insurmountable entry barriers for commercial deployment, and prioritizes process over outcomes — effectively functioning as a de facto ban on services like Robotaxi.

This latest clash echoes Tesla’s past battles in New Jersey over direct vehicle sales. The email directs owners to Tesla’s advocacy platform, where they can send customized messages to legislators calling for amendments: outcome-based safety standards, open competition, and clear pathways for fully driverless commercial operations.

As hearings approach, Tesla’s campaign frames the issue as a choice between protecting the status quo and embracing life-saving progress. With robotaxi technology already proving itself in permissive states, New Jersey owners are being asked to ensure their state doesn’t lock out the future of transportation.

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Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest

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Credit: TESLARATI

Turn-by-turn navigation is not new technology.

For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.

Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.

Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.

Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.

Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.

But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.

This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.

More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.

It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?

Multiple Data Sources

First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.

Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.

Persistent Learning

FSD seems to struggle with persistent learning from driver interventions.

Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.

This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.

I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.

Reasoning, Scaling, and Intuition

Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.

Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.

Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.

Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.

Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.

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Tesla Cybertruck driver gets pickup seized for ‘legitimate concerns’ in UK

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A Tesla Cybertruck driver in the United Kingdom had their all-electric pickup seized by local police in the Greater Manchester area after the department cited “legitimate concerns.”

Last Thursday, police saw the pickup on the roads and decided to pull the driver over. Greater Manchester Police said:

“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a collision with the Cybertruck.”

The Cybertruck in question was, according to the BBC, registered and insured abroad and was confiscated. The driver, who is a UK resident, was reported.

The Greater Manchester Police Department then added:

“The Tesla Cybertruck is not road-legal in the UK and does not hold a certificate of conformity.”

The Cybertruck cannot be legally driven in the UK because it has no UK Type Approval for operation in the country. This is due to some safety concerns, which are related to its angular shape and design. The stainless steel exoskeleton has sharp edges and projections that violate UK/EU rules on pedestrian protection.

Tesla has considered creating what it referred to as an “international version” that would be approved for operation in Europe. However, there has been no real movement on that front by the company, as it has been focused on the Robotaxi rollout primarily.

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